Researchers at Penn State College of Medicine have developed a new artificial intelligence algorithm that may lead to improved predictions and novel therapies for autoimmune diseases. The algorithm ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

In a recent study published in Nature Medicine, researchers introduced a new cardiovascular risk prediction algorithm. Study: Development and validation of a new algorithm for improved cardiovascular ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Obesity is a common cause of diabetes, heart disease and early death, but risk differs greatly from one person to the next. A pioneering clinical risk prediction algorithm has been developed that ...

New AI algorithm accurately deciphers pathogenic regulatory genetic variants in the noncoding regions of the human genome at scale for the first time Currently, only about 30% of rare disease patients ...

Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report Using publicly available translation tables along with clinician and other ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

A risk stratification algorithm may be able to predict which patients with advanced chronic liver disease are at risk of developing hepatocellular carcinoma (HCC), according to a large-scale ...